5G NR data analytics
Delivering excellent quality of experience to end users is a primary objective for mobile network operators in order to retain subscribers, attract new customers and competitively position themselves.
Network complexity will increase with the emergence of new cellular use cases and more demanding subscriber and machine QoE, enabled by the rollout of technologies such as 5G and internet of things (IoT). Therefore, it becomes more critical to understand the current network situation and pinpoint areas for development that will efficiently deliver the required performance. To measure and analyze pre-commercial 5G NR trials and very early deployments, a real-time analysis tool (such as R&S ROMES4) is sufficient. Network measurements in commercial 5G NR networks require a sophisticated postprocessing tool for data analytics.
For accurate network engineering, benchmarking, monitoring and optimization, it is necessary to process a large quantity of complex data and produce clear, easy-to-understand intelligence in a network in order to make better decisions. Correct decisions can only be made when they are based on reliable and accurate data, processed quickly and appropriately. By processing data acquired from the end-user perspective, the Rohde & Schwarz data analytics tool SmartAnalytics provides a precise and clear assessment of an operator’s own network quality (QoE from the end-user perspective) and its competitive position in the market.
SmartAnalytics provides visibility of the main factors influencing network performance and QoE status, its context, development trends, problems and possible degradation causes. Thanks to the network performance score integrated in SmartAnalytics, network operators can identify strategic areas for investment. As a result, mobile operators can efficiently deliver optimal end-user QoE and move ahead of the competition, which leads to a higher number of subscribers, a lower cost base and access to new revenue streams (see Figure 10).